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In episode 72 of The Gradient Podcast, Daniel Bashir speaks to Brigham Hyde.
Brigham is Co-Founder and CEO of Atropos Health. Prior to Atropos, he served as President of Data and Analytics at Eversana, a life sciences commercialization service provider. He led the investment in Concert AI in the oncology real-world data space at Symphony AI. Brigham has also held research faculty positions at Tufts University and the MIT Media Lab.
Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at [email protected]
Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter
Outline:
* (00:00) Intro
* (01:55) Brigham’s background
* (06:00) Current challenges in healthcare
* (12:33) Interpretablity and delivering positive patient outcomes
* (17:10) How Atropos surfaces relevant data for patient interventions, on personalized observational research studies
* (22:10) Quality and quantity of data for patient interventions
* (27:25) Challenges and opportunities for generative AI in healthcare
* (35:17) Database augmentation for generative models
* (36:25) Future work for Atropos
* (39:15) Future directions for AI + healthcare
* (40:56) Outro
Links:
* Atropos Health homepage
* Brigham’s Twitter and LinkedIn
By Daniel Bashir4.7
4747 ratings
In episode 72 of The Gradient Podcast, Daniel Bashir speaks to Brigham Hyde.
Brigham is Co-Founder and CEO of Atropos Health. Prior to Atropos, he served as President of Data and Analytics at Eversana, a life sciences commercialization service provider. He led the investment in Concert AI in the oncology real-world data space at Symphony AI. Brigham has also held research faculty positions at Tufts University and the MIT Media Lab.
Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at [email protected]
Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter
Outline:
* (00:00) Intro
* (01:55) Brigham’s background
* (06:00) Current challenges in healthcare
* (12:33) Interpretablity and delivering positive patient outcomes
* (17:10) How Atropos surfaces relevant data for patient interventions, on personalized observational research studies
* (22:10) Quality and quantity of data for patient interventions
* (27:25) Challenges and opportunities for generative AI in healthcare
* (35:17) Database augmentation for generative models
* (36:25) Future work for Atropos
* (39:15) Future directions for AI + healthcare
* (40:56) Outro
Links:
* Atropos Health homepage
* Brigham’s Twitter and LinkedIn

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